LEADER 03790nam 22006495 450 001 9910299892303321 005 20200701082517.0 010 $a3-319-69898-2 024 7 $a10.1007/978-3-319-69898-4 035 $a(CKB)4100000001381484 035 $a(DE-He213)978-3-319-69898-4 035 $a(MiAaPQ)EBC5199594 035 $a(PPN)222229101 035 $a(EXLCZ)994100000001381484 100 $a20171213d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSelf-organizing Coalitions for Managing Complexity $eAgent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications /$fby Juan C. Burguillo 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XVI, 343 p. 187 illus., 149 illus. in color.) 225 1 $aEmergence, Complexity and Computation,$x2194-7287 ;$v29 311 $a3-319-69896-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction.- Complex Systems -- Complex Networks.- Cellular Automata.- Multi-agent Systems -- Self-Organization.- Game Theory.- Optimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps. 330 $aThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and master?s students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models. 410 0$aEmergence, Complexity and Computation,$x2194-7287 ;$v29 606 $aComputational complexity 606 $aComputational intelligence 606 $aOperations research 606 $aDecision making 606 $aPhysics 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 615 0$aComputational complexity. 615 0$aComputational intelligence. 615 0$aOperations research. 615 0$aDecision making. 615 0$aPhysics. 615 14$aComplexity. 615 24$aComputational Intelligence. 615 24$aOperations Research/Decision Theory. 615 24$aApplications of Graph Theory and Complex Networks. 676 $a003.7 700 $aBurguillo$b Juan C$4aut$4http://id.loc.gov/vocabulary/relators/aut$01064777 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299892303321 996 $aSelf-organizing Coalitions for Managing Complexity$92540629 997 $aUNINA